Abstract
The most popular seismic attributes fall into three broad categories – those that are sensitive to lateral changes in waveform and structure such as coherence and curvature, those sensitive to thin bed tuning and stratigraphy, such as spectral components, and those sensitive to lithology and fluid properties – such as AVO and impedance inversion. We present a workflow that mimics multi-attribute clustering routinely done by human interpreters. This workflow automatically differentiates depositional packages characterized by subtle changes in the stratigraphic column as well as lateral changes in texture.
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